Towards a multi-criteria, crowdsource-based, route planner for recreational pedestrians in Groningen

Abstract

The goal of this research is to combine the three trends and translate them into a multi-criteria, crowdsource-based route planner for recreational pedestrians in Groningen. With the route planner, users can select a route based on their personal preferences, including themes, the start and ending location of the route and the duration of the route. Secondly, users help to optimize the route planner by sharing their feedback on the recommended walking routes with other users. By creating a multi-criteria route planner, users can obtain a walking route that closely fits their personal preferences. Moreover, by adding new stops to the route planner, the scope of the route planner expands and users can obtain more varied walking routes. In overall, the results of the testing prove that the Vehicle Routing Problem with Time Windows and the feedback mechanism increase the planning effectiveness and the recommendation accuracy of the route planner.